ETL is giving way to ELT. Why does it matter? Because data preparation remains one of the toughest obstacles that a data-aware organization must overcome. Whether it's a data lake, a cloud data ...

The AI-driven ETL pipeline dynamically adjusts data extraction, transformation, and loading processes, resulting in significant improvements in data integration performance.

Incorta bypasses traditional ETL bottlenecks - delivering analytics and AI-ready data from complex ERPs, directly to DatabricksFOSTER CITY, Calif., June 18, 2025 (GLOBE NEWSWIRE) -- Incorta, the ...

Data lake ETL platforms are available in a full range of options – from open-source to managed solutions to custom-built. Whichever tool you select, it’s important to differentiate data lake ETL ...

If you want to make good data-driven decisions, it’s critical for your data to be as accurate as possible. But ensuring the accuracy of data can be a difficult task in large enterprise environments ...

ETL enables putting data to work and maximizing its value. Generally, the ETL process has worked well, and it has been improved over time.

ETL connector company AirByte today announced a free connector program making 200 data connectors free to use on its platform.

Many IT professionals say the data transformation tool ETL hinders companies’ ability to do real-time analytics, and they are looking for alternatives.

ETL is hard because data is messy. There is no such thing as clean data, and even the most common attributes have a dizzying array of acceptable formats: “Sat Jan 22 10:37:13 PST,” “2014-01-22T1837:13 ...

At QCon San Francisco 2016, Neha Narkhede presented “ETL is Dead; Long Live Streams”, and discussed the changing landscape of enterprise data processing. A core premise of the talk was that ...